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Introduction to Natural Language Processing · End Term · 13 Apr 2025 · January 2025 term

Question 3: How does Retrieval-Augmented Generation (RAG) differ from…

Question 3

+3 marksOne correct option

How does Retrieval-Augmented Generation (RAG) differ from standard parametric models like GPT-3?

  1. A

    RAG eliminates the need for transformer-based token generation.

  2. B

    RAG uses retrieval but does not update its knowledge dynamically over time.

  3. C

    RAG only works when trained on labeled question-answer datasets.

  4. D

    RAG retrieves external documents dynamically, reducing reliance on pre- trained knowledge.

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Correct answer

  • D

    RAG retrieves external documents dynamically, reducing reliance on pre- trained knowledge.

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Question 3 of 25 in the IIT Madras BS Introduction to Natural Language Processing (Intro to NLP) End Term paper sat on 13 Apr 2025, in the January 2025 term (IIT M FOUNDATION AN EXAM QDF3 13 Apr 2025). It carries 3 marks.

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